Movie box office analysis and inference with time series models and tree-based methods
Di Gregorio, Simone (A.A. 2021/2022) Movie box office analysis and inference with time series models and tree-based methods. Tesi di Laurea in Data analysis for business, Luiss Guido Carli, relatore Francesco Iafrate, pp. 71. [Bachelor's Degree Thesis]
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Abstract/Index
Entertainment and analytics, this thesis and how it came to be. Analytics at the core of the entertainment industry? How was this thesis born? Introduction to the overall structure of the pipeline of this thesis. Scraping and data retrieval. Building the time series and introduction to time series analysis. Building the time series. Fundamental concepts of time series analysis. ARIMA and exponential smoothing models. Exponential smoothing. AutoRegressive integrated moving average, ARIMA for friends. ARIMA and ETS fitted to the US box office time series. Tree-based methods. Bagging. Gradient boosting. Tree-based methods using exogenous regressors and last stage of the hybrid model.
References
Bibliografia: pp. 61-62.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Data analysis for business |
| Thesis Supervisor: | Iafrate, Francesco |
| Academic Year: | 2021/2022 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 21 Apr 2023 10:52 |
| Last Modified: | 21 Apr 2023 10:52 |
| URI: | https://tesi.luiss.it/id/eprint/35703 |
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